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FairMod: Fair Link Prediction and Recommendation via Graph Modification., , , and . CoRR, (2022)MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest., , , , , , , and . Proc. VLDB Endow., 16 (4): 781-789 (2022)LocationTrails: a federated approach to learning location embeddings., , , , and . ASONAM, page 377-384. ACM, (2021)Network Representation Learning: Consolidation and Renewed Bearing., , , , , , , , , and 2 other author(s). CoRR, (2019)Benchmarking and Analyzing Unsupervised Network Representation Learning and the Illusion of Progress., , , , , , , , , and 2 other author(s). Trans. Mach. Learn. Res., (2022)Leveraging network representation learning and community detection for analyzing the activity profiles of adolescents., , , , and . Appl. Netw. Sci., 7 (1): 27 (2022)WebMILE: Democratizing Network Representation Learning at Scale., , , and . Proc. VLDB Endow., 15 (12): 3718-3721 (2022)FairMILE: A Multi-Level Framework for Fair and Scalable Graph Representation Learning., , and . CoRR, (2022)DistMILE: A Distributed Multi-Level Framework for Scalable Graph Embedding., , , , , and . HiPC, page 282-291. IEEE, (2021)COMMIT: A Scalable Approach to Mining Communication Motifs from Dynamic Networks., , and . SIGMOD Conference, page 475-489. ACM, (2015)